Menu
Databricks CLI operations: auth, profiles, data exploration, and bundles. Contains up-to-date guidelines for Databricks-related CLI tasks.
Use when the user wants to be taught and quizzed on a topic, theme, or concept they name (not the current session), to verify they deeply understand it. For example "teach me about Kafka consumer groups and test me" or "quiz me on this repo's auth flow".
Use when the user wants to be taught and quizzed on the work from the current session, what was just built, decided, debugged, or changed, to verify they deeply understand it. Not for updating agent instruction files; that is capturing-session-learnings.
This skill encodes Emil Kowalski's philosophy on UI polish, component design, animation decisions, and the invisible details that make software feel great.
Use when the user wants to build a multi-slide HTML presentation with slide-type templates, a deck-stage engine, and an optional two-window presenter view for live sharing in Teams, Zoom, or Meet. For one-off single-file slide artifacts, see workbench:crafting-html. For brand theming, see workbench:crafting-design-systems.
Use when the user wants to design the content of a slide presentation, from audience brief through critiqued storyboard. Produces a markdown deck.md with structured per-slide front-matter. For a written prose talk instead of a deck, use writing:writing with format talk. For rendering a deck.md to HTML, use workbench:crafting-presentations.
Draft, review, and finish long form prose, essays, talks, newsletters, memos, and briefings.
| name | databricks-core |
| description | Databricks CLI operations: auth, profiles, data exploration, and bundles. Contains up-to-date guidelines for Databricks-related CLI tasks. |
| compatibility | Requires databricks CLI (>= v0.292.0) |
Core skill for Databricks CLI, authentication, and data exploration.
databricks --version must report v0.292.0 or newer. Installation is the user's responsibility; if the CLI is missing, run the command anyway and let the shell's command not found surface the problem to the user.
Authenticated: databricks auth profiles. If empty: see CLI Authentication.
NEVER auto-select a profile.
databricks auth profilesEach Bash command runs in a separate shell session.
# WORKS: --profile flag
databricks apps list --profile my-workspace
# WORKS: chained with &&
export DATABRICKS_CONFIG_PROFILE=my-workspace && databricks apps list
# DOES NOT WORK: separate commands
export DATABRICKS_CONFIG_PROFILE=my-workspace
databricks apps list # profile not set!
Use these instead of manually navigating catalogs/schemas/tables:
# discover table structure (columns, types, sample data, stats)
databricks experimental aitools tools discover-schema catalog.schema.table --profile <PROFILE>
# run ad-hoc SQL queries
databricks experimental aitools tools query "SELECT * FROM table LIMIT 10" --profile <PROFILE>
# find the default warehouse
databricks experimental aitools tools get-default-warehouse --profile <PROFILE>
See Data Exploration for details.
⚠️ CRITICAL: Some commands use positional arguments, not flags
# current user
databricks current-user me --profile <PROFILE>
# list resources
databricks apps list --profile <PROFILE>
databricks jobs list --profile <PROFILE>
databricks clusters list --profile <PROFILE>
databricks warehouses list --profile <PROFILE>
databricks pipelines list --profile <PROFILE>
databricks serving-endpoints list --profile <PROFILE>
# ⚠️ Unity Catalog: POSITIONAL arguments (NOT flags!)
databricks catalogs list --profile <PROFILE>
# ✅ CORRECT: positional args
databricks schemas list <CATALOG> --profile <PROFILE>
databricks tables list <CATALOG> <SCHEMA> --profile <PROFILE>
databricks tables get <CATALOG>.<SCHEMA>.<TABLE> --profile <PROFILE>
# ❌ WRONG: these flags/commands DON'T EXIST
# databricks schemas list --catalog-name <CATALOG> ← WILL FAIL
# databricks tables list --catalog <CATALOG> ← WILL FAIL
# databricks sql-warehouses list ← doesn't exist, use `warehouses list`
# databricks execute-statement ← doesn't exist, use `experimental aitools tools query`
# databricks sql execute ← doesn't exist, use `experimental aitools tools query`
# When in doubt, check help:
# databricks schemas list --help
# get details
databricks apps get <NAME> --profile <PROFILE>
databricks jobs get --job-id <ID> --profile <PROFILE>
databricks clusters get --cluster-id <ID> --profile <PROFILE>
# bundles
databricks bundle init --profile <PROFILE>
databricks bundle validate --profile <PROFILE>
databricks bundle deploy -t <TARGET> --profile <PROFILE>
databricks bundle run <RESOURCE> -t <TARGET> --profile <PROFILE>
| Error | Solution |
|---|---|
cannot configure default credentials | Use --profile flag or authenticate first |
PERMISSION_DENIED | Check workspace/UC permissions |
RESOURCE_DOES_NOT_EXIST | Verify resource name/id and profile |
| Task | READ BEFORE proceeding |
|---|---|
| Auth issues / new workspace | CLI Authentication |
| Exploring tables/schemas | Data Exploration |